AI-Enhanced Market Predictor

The code implements a trading indicator using multiple advanced techniques. It starts by calculating the RSI and moving averages (short, long, and exponential) to analyze price trends. It calculates volume and compares it with the moving average to identify volume spikes. The core of the prediction uses Linear Regression to determine price trends, simulated Fourier Transform and Wavelet Transform to detect periodic and high-frequency patterns, and ARIMA to predict future price movement based on past data. It incorporates GARCH volatility analysis to detect risk and neural networks with weighted moving averages for reinforcement learning-based signals. It combines all these techniques to generate buy/sell signals based on market conditions and AI-generated predictions. The results are plotted on the chart with additional confidence scores and background highlights for RSI overbought/oversold zones. Alerts are triggered for strong buy/sell signals.